Articles | Volume 21, issue 16
https://doi.org/10.5194/acp-21-12291-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-12291-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Vehicle-induced turbulence and atmospheric pollution
Paul A. Makar
CORRESPONDING AUTHOR
Air Quality Modelling and Integration Section, Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada
Craig Stroud
Air Quality Modelling and Integration Section, Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada
Ayodeji Akingunola
Air Quality Modelling and Integration Section, Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada
Junhua Zhang
Air Quality Modelling and Integration Section, Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada
Shuzhan Ren
Air Quality Modelling and Integration Section, Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada
Philip Cheung
Air Quality Modelling and Integration Section, Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada
Qiong Zheng
Air Quality Modelling and Integration Section, Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada
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- Application of an Empirical Model to Improve Maximum Value Predictions in CFD-RANS: Insights from Four Scientific Domains G. Efthimiou 10.3390/atmos15091124
- An Integrated Field Study of Turbulence and Dispersion Variations in Road Microenvironments S. Xiang et al. 10.1021/acs.est.4c04217
- Air pollution measurement errors: is your data fit for purpose? S. Diez et al. 10.5194/amt-15-4091-2022
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- Estimating vehicular emission factors and vehicle-induced turbulence: Application of an air quality sensor array for continuous multipoint monitoring in a tunnel H. Song et al. 10.1016/j.apr.2023.101799
- Technical note: AQMEII4 Activity 1: evaluation of wet and dry deposition schemes as an integral part of regional-scale air quality models S. Galmarini et al. 10.5194/acp-21-15663-2021
- Characterizations of air pollutants at roadside monitoring stations and traffic emission effects: A case study in Tianjin, China F. Zheng et al. 10.1016/j.jes.2024.09.018
- Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16 P. Campbell et al. 10.5194/gmd-15-3281-2022
- Forest-fire aerosol–weather feedbacks over western North America using a high-resolution, online coupled air-quality model P. Makar et al. 10.5194/acp-21-10557-2021
11 citations as recorded by crossref.
- Which is better? Business models of partial and cross ownership in an NEV supply chain X. Zhu et al. 10.1108/K-03-2022-0415
- The influence of dry deposition on surface ozone simulations under different planetary boundary layer schemes over eastern China D. Li et al. 10.1016/j.atmosenv.2024.120514
- Application of an Empirical Model to Improve Maximum Value Predictions in CFD-RANS: Insights from Four Scientific Domains G. Efthimiou 10.3390/atmos15091124
- An Integrated Field Study of Turbulence and Dispersion Variations in Road Microenvironments S. Xiang et al. 10.1021/acs.est.4c04217
- Air pollution measurement errors: is your data fit for purpose? S. Diez et al. 10.5194/amt-15-4091-2022
- Modelling the effect of shape on atmospheric microplastic transport E. Ward et al. 10.1016/j.atmosenv.2024.120458
- Forest-fire aerosol–weather feedbacks over western North America using a high-resolution, online coupled air-quality model P. Makar et al. 10.5194/acp-21-10557-2021
- Estimating vehicular emission factors and vehicle-induced turbulence: Application of an air quality sensor array for continuous multipoint monitoring in a tunnel H. Song et al. 10.1016/j.apr.2023.101799
- Technical note: AQMEII4 Activity 1: evaluation of wet and dry deposition schemes as an integral part of regional-scale air quality models S. Galmarini et al. 10.5194/acp-21-15663-2021
- Characterizations of air pollutants at roadside monitoring stations and traffic emission effects: A case study in Tianjin, China F. Zheng et al. 10.1016/j.jes.2024.09.018
- Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16 P. Campbell et al. 10.5194/gmd-15-3281-2022
Latest update: 18 Nov 2024
Short summary
Vehicle pollutant emissions occur in an environment where upward transport can be enhanced due to the turbulence created by the vehicles as they move through the atmosphere. An approach for including these turbulence effects in regional air pollution forecast models has been derived from theoretical, observation, and higher-resolution modeling. The enhanced mixing, which occurs in the immediate vicinity of roadways, changes pollutant concentrations on the regional to continental scale.
Vehicle pollutant emissions occur in an environment where upward transport can be enhanced due...
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